Build Your Own AI Project Worksheet
AI tip (Accuracy = correct ÷ total × 100): Steps: 1 choose a problem → 2 collect examples → 3 label them → 4 check and correct bad labels (clean the data) → 5 split into training and test sets → 6 train → 7 test with new examples → 8 measure accuracy → 9 improve the data and retest. Accuracy = correct ÷ total × 100. Wrong = total − correct. Expected right = accuracy ÷ 100 × total. Keep some examples apart for testing (for example one fifth); the rest are for training.
NameDateTime takenScore ___ / 40
- 1.📋 Planning an AI project: which comes first — choose what to sort or try unseen examples? (a) choose what to sort (b) try unseen examples
- 2.📋 Planning an AI project: which comes first — calculate percent right or try unseen examples? (a) calculate percent right (b) try unseen examples
- 3.🎯 Meera’s spam spotter is 80% accurate. If it is tested on 70 new messages, how many should it get right?
- 4.🧪 What is accuracy? (a) correct + total (b) total × 2 (c) correct ÷ total × 100 (d) total − correct
- 5.🧪 You can plan a simple AI project with… (a) paper and examples (b) nothing at all (c) a secret password (d) only a big robot
- 6.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 10 right and Model B got 9 right. How many percentage points more accurate is Model A?
- 7.📋 Planning an AI project: which comes first — try unseen examples or improve data, retest? (a) try unseen examples (b) improve data, retest
- 8.📋 Planning an AI project: which comes first — work out the accuracy or improve data, retest? (a) work out the accuracy (b) improve data, retest
- 9.📋 Planning an AI project: which comes first — pick a question to solve or correct bad labels? (a) pick a question to solve (b) correct bad labels
- 10.🧪 Why must you test a model on examples it has NOT seen? (a) to make it faster (b) to save paper (c) to make it bigger (d) to see if it learned
- 11.🎯 Vihaan’s fruit sorter was tested on 5 new fruit photos and got 3 right. What is its accuracy in percent?
- 12.📋 Planning an AI project: which comes first — fix it and test again or calculate percent right? (a) fix it and test again (b) calculate percent right
- 13.⚖️ Two spam spotter models were tested on the same 10 messages. Model A got 9 right and Model B got 8 right. How many percentage points more accurate is Model A?
- 14.📦 Kabir collected 150 labelled leaf photos for a leaf identifier and keeps one fifth of them for testing. How many are left for training?
- 15.📋 Planning an AI project: which comes first — let it learn patterns or tag each photo by type? (a) let it learn patterns (b) tag each photo by type
- 16.❌ Kabir’s recycling sorter was tested on 39 new waste photos and got 38 right. How many did it get wrong?
- 17.📋 Planning an AI project: which comes first — set aside test photos or calculate percent right? (a) set aside test photos (b) calculate percent right
- 18.🎯 Ananya’s spam spotter was tested on 50 new messages and got 35 right. What is its accuracy in percent?
- 19.🎯 Diya’s leaf identifier was tested on 5 new leaf photos and got 4 right. What is its accuracy in percent?
- 20.📦 Ananya collected 190 labelled bird songs for a bird-song app and keeps one fifth of them for testing. How many are left for training?
- 21.📋 Planning an AI project: which comes first — test on new photos or work out the accuracy? (a) test on new photos (b) work out the accuracy
- 22.❌ Aarav’s fruit sorter was tested on 28 new fruit photos and got 26 right. How many did it get wrong?
- 23.🎯 Aarav’s fruit sorter is 50% accurate. If it is tested on 30 new fruit photos, how many should it get right?
- 24.🎯 Diya’s leaf identifier was tested on 25 new leaf photos and got 16 right. What is its accuracy in percent?
- 25.🎯 Saanvi’s recycling sorter was tested on 5 new waste photos and got 3 right. What is its accuracy in percent?
- 26.📋 Planning an AI project: which comes first — fix it and test again or test on new photos? (a) fix it and test again (b) test on new photos
- 27.🧪 Your fruit sorter mixes up oranges and lemons. What helps most? (a) a new colour screen (b) a louder speaker (c) fewer examples (d) more labelled examples
- 28.📦 Kabir collected 140 labelled fruit photos for a fruit sorter and keeps one fifth of them for testing. How many are left for training?
- 29.📋 Planning an AI project: which comes first — set aside test photos or choose what to sort? (a) set aside test photos (b) choose what to sort
- 30.📋 Planning an AI project: which comes first — try unseen examples or work out the accuracy? (a) try unseen examples (b) work out the accuracy
- 31.🎯 Saanvi’s fruit sorter was tested on 4 new fruit photos and got 2 right. What is its accuracy in percent?
- 32.⚖️ Two bird-song app models were tested on the same 10 bird songs. Model A got 7 right and Model B got 5 right. How many percentage points more accurate is Model A?
- 33.📦 Vihaan collected 160 labelled messages for a spam spotter and keeps one fifth of them for testing. How many are left for training?
- 34.🎯 Rohan’s fruit sorter was tested on 10 new fruit photos and got 10 right. What is its accuracy in percent?
- 35.📋 Planning an AI project: which comes first — try unseen examples or let it learn patterns? (a) try unseen examples (b) let it learn patterns
- 36.⚖️ Two fruit sorter models were tested on the same 10 fruit photos. Model A got 9 right and Model B got 6 right. How many percentage points more accurate is Model A?
- 37.🎯 Ishaan’s leaf identifier was tested on 25 new leaf photos and got 14 right. What is its accuracy in percent?
- 38.📋 Planning an AI project: which comes first — choose what to sort or label each example? (a) choose what to sort (b) label each example
- 39.❌ Diya’s spam spotter was tested on 29 new messages and got 27 right. How many did it get wrong?
- 40.📋 Planning an AI project: which comes first — set aside test photos or recheck every label? (a) set aside test photos (b) recheck every label
Answer key
- choose what to sort
- try unseen examples
- 56
- correct ÷ total × 100
- paper and examples
- 10
- try unseen examples
- work out the accuracy
- pick a question to solve
- to see if it learned
- 60
- calculate percent right
- 10
- 120
- tag each photo by type
- 1
- set aside test photos
- 70
- 80
- 152
- test on new photos
- 2
- 15
- 64
- 60
- test on new photos
- more labelled examples
- 112
- choose what to sort
- try unseen examples
- 50
- 20
- 128
- 100
- let it learn patterns
- 30
- 56
- choose what to sort
- 2
- recheck every label
Free ai for students lessons, practice and worksheets at talentjr.in/ai-for-students